iPhone 8
Geekbench ML Score
623
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 11:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
2325
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2522
3.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
2575
3.12 IPS |
|
|
Object Detection (F32)
|
100% |
307
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
263
19.6 IPS |
|
|
Object Detection (I8)
|
97% |
324
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
923
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
955
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
988
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2157
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2305
17.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2292
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4689
6.17 IPS |
|
|
Style Transfer (F16)
|
100% |
5065
6.66 IPS |
|
|
Style Transfer (I8)
|
100% |
4917
6.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1207
43.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1007
36.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1028
36.7 IPS |
|
|
Text Classification (F32)
|
100% |
49
69.9 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.6 IPS |
|
|
Text Classification (I8)
|
96% |
201
289.3 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.80 IPS |
